A Comparison on Intelligent Web Information Retrieval Systems (original) (raw)
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Towards Intelligent Information Retrieval on Web
The World Wide Web is an information resource with virtually unlimited potential. However, this potential is relatively untapped because it is difficult for machines to process and integrate this information meaningfully and today the WWW links more than 15 billion pages. The retrieval of relevant information on web is an issue that is of main concern. As the internet grew and became popular, more and more information is growing over the WWW has increased to such an extent that extracting relevant information became a major issue -anytime one searches on the web, it ends up in hundreds of links that provide information on a particular topic. Extracting useful information is left on user to decide. This paper emphasizes on where today's search is lacking and need of an intelligent information retrieval system on web and to explore its theoretical framework. This paper also presents the technologies/concepts required to make semantic web a reality like metadata, RDF, URI, XML, XMLS, Triples and Ontologies.
An intelligent web search framework for performing efficient retrieval of data
Computers & Electrical Engineering, 2016
There are numerous search engines available in today's world to search and retrieve the required information. However retrieval of meaningful and appropriate formation as per the user requirement is always a challenging task. The foremost intention of any search engine is to provide the information with in a quick span of time. Since the nature of data available in WorldWide Web shows heterogeneity in common and the sources of data are also distinct with each other, issues pertaining to schema structure and data representational are also there. In such circumstances, to eliminate inconsistencies and for enabling seamless integration of multiple data sources while retrieving web data, an efficient web search mechanism that fulfils the customer requirement is always needed. To enable the integration of multiple data sources while performing efficient retrieval of web data, an intelligent web search framework has been proposed in this paper.
Information Retrieval from web Using Intelligent Agent Based System
Every user has an individual background and a precise goal in search of information. The goal of personalized search is to search results to a particular user based on the user's interests and preferences. Effective personalization of information access involves two important challenges: accurately identifying the user context and organizing the information to match with the particular context. In this paper, the system uses ontology as a knowledge base for the information retrieval process. It is one layer above any one of search engines retrieve by analyzing just the keywords. Here, the query is analyzed both syntactically and semantically. The developed system retrieves the web results more relevant to the users query. The level of accuracy will be enhanced since the query is analyzed semantically. The results are re-ranked and optimized for providing the relevant links. Based on the user's information access behavior, an ontological profile is created, which is also used for personalization. If the system is deployed for web information gathering, search performance can be improved and accurate results can be retrieved.
A Web Information Retrieval System
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The essential focus of Web Information Retrieval System (WIRS) is to address the parts of pursuit that consider the particular needs and objectives of the people conducting Web search. WIRS moves past the customary focus of robotized looking inside computerized accumulations, utilizing sagacious systems and Webbased innovations to help clients in tagging their data needs, evaluating and investigating query items, and dealing with the information they discover. The objective of this paper is to give an outline of the key issues, challenges, and opportunities in WIRS research.
Information Retrieval on the World Wide Web
IEEE Internet Computing, 1997
T he World Wide Web is a very large distributed digital information space. From its origins in 1991 as an organization-wide collaborative environment at CERN for sharing research documents in nuclear physics, the Web has grown to encompass diverse information resources: personal home pages; online digital libraries; virtual museums; product and service catalogs; government information for public dissemination; research publications; and Gopher, FTP, Usenet news, and mail servers. Some estimates suggest that the Web currently includes about 150 million pages and that this number doubles every four months.
Information Retrieval on the web and its evaluation
Internet is one of the main sources of information for millions of people. One can find information related to practically all matters on internet. Moreover if we want to retrieve information about some particular topic we may find thousands of Web Pages related to that topic. But our main concern is to find relevant Web Pages from among that collection. So in this paper I have discussed that how information is retrieved from the web and the efforts required for retrieving this information in terms of system and users efforts.
2008
Searching for information is commonly an individual task which aims at solving any information need. To do that, one may go to a library, or go surfing the Web in order to find relevant information. Indeed, due to the large amount of available documents, the Web has become a favorite information source for solving daily information needs. An issue remains: the Web is in perpetual evolution; so the problem is less the existence of relevant information rather than the way users find it. One may compare searching for information on the Web with "looking for a needle in a haystack." Thus, searching the Web suffers from many limits that can be reduced by using a search assistant. Such an assistant helps the user to find relevant information on the Web. At the beginning, those assistants were principally helping each user individually. Nowadays, we are witnessing the rise of social approaches in such systems. Those latter systems help users to find relevant information by using other users' experience, shared information… Therefore, each user is helped thanks to the mass crowd. This chapter underlines this search assistants evolution, it is organized as follows: section 1 introduces the underlying concepts and limits of traditional information search process and its application to the Web. Section 2 explains the search assistant concept by detailing their evolution from individual to social approaches. Sections 3 up to 5 present current approaches that search assistants may use to help any user to query and browse the Web as well as to improve search-related activities. To conclude, future trends for Web information assistants are discussed.
Intelligent Search on the Internet
2006
The Web has grown from a simple hypertext system for research labs to an ubiquitous information system including virtually all human knowledge, e.g., movies, images, music, documents, etc. The traditional browsing activity seems to be often inadequate to locate information satisfying the user needs. Even search engines, based on the Information Retrieval approach, with their huge indexes show many drawbacks, which force users to sift through long lists of results or reformulate queries several times.